EP 1336081 A2 20030820 - INFERENTIAL SIGNAL GENERATOR FOR INSTRUMENTED EQUIPMENT AND PROCESSES
Title (en)
INFERENTIAL SIGNAL GENERATOR FOR INSTRUMENTED EQUIPMENT AND PROCESSES
Title (de)
INFERENZ-SIGNALGENERATOR FÜR INSTRUMENTIERTE GERÄTE UND PROZESSE
Title (fr)
GENERATEUR DE SIGNAUX INFERENTIELS POUR MATERIELS ET PROCESSUS INSTRUMENTES
Publication
Application
Priority
- US 0143661 W 20011121
- US 71859200 A 20001122
Abstract (en)
[origin: WO0242720A2] An improved system and method for producing replacement sensor signals for failed sensors, and inferred sensor signals for non-instrumented physical parameters, in processes and equipment having one or more sensors in place for monitoring physical parameters. A data history from a fully-instrumented prototype provides a representative data set of anticipated operating parameters for forming an empirical model in a computer module for generating "virtual" signals for a process or machine in real-time. Replacement or inferential sensor signals can be advantageously used in downstream control processing or analysis. The replacement or inferred sensor signals generated accordingly may be returned to a control system or display system local to the process or machine, or located at the remote location or yet a different remote location. The system can provide expected parameter values, as well as the differences between expected and input signals; or the system can provide raw measures of similarity between the collection of input signals and the collection of acceptable modeled states. A memory for storing the representative training set, or a transformation thereof, is coupled to a processor. The processor receives from an input data signals embodying real values from sensors actually on the process or machine, and may receive these in real-time. The processor is disposed to take a set of readings of the actual sensors from the input, and generate an estimate of one or more desired inferred sensors, using a linear combination of the representative training set sensor data, as weighted by the result of a measure of similarity of the input sensor data to the representative training set sensor data.
[origin: WO0242720A2] An improved system and method for producing replacement sensor signals for failed sensors (150), and inferred sensor signals (160) for non-instrumented physical parameters, in processes and equipment having one or more sensors in place for monitoring physical parameters. A data history from a fully-instrumented prototype (110) provides a representative data set of anticipated operating parameters for forming an empirical model for generating "virtual" signals for a process or machine in real-time. A memory (551) for storing the representative training set, or a transformation thereof, is coupled to a processor (545). The processor (545) receives from an input, data signals embodying real values from sensors on the process or machine. The processor (545) takes a set of readings of the actual sensors from the input, and generates an estimate of one or more desired inferred sensors, using a linear combination of the representative training set sensor data, as weighted by the result of a measure of similarity of the input data to the representative data.
IPC 1-7
IPC 8 full level
G01D 1/00 (2006.01); G01D 3/08 (2006.01); G01D 21/00 (2006.01); G01H 11/00 (2006.01); G05B 9/02 (2006.01); G05B 23/02 (2006.01)
CPC (source: EP US)
G01D 3/08 (2013.01 - EP US); G01D 21/00 (2013.01 - EP US); G05B 17/02 (2013.01 - EP US); G05B 23/0286 (2013.01 - EP US)
Designated contracting state (EPC)
AT BE CH CY DE DK ES FI FR GB GR IE IT LI LU MC NL PT SE TR
DOCDB simple family (publication)
WO 0242720 A2 20020530; WO 0242720 A3 20020718; AT E462120 T1 20100415; AU 2002236463 B2 20070104; AU 3646302 A 20020603; CA 2428033 A1 20020530; CA 2428033 C 20100119; DE 60141645 D1 20100506; EP 1336081 A2 20030820; EP 1336081 A4 20060308; EP 1336081 B1 20100324; EP 2182327 A1 20100505; EP 2182327 B1 20150429; ES 2343836 T3 20100811; ES 2540859 T3 20150714; JP 2004523735 A 20040805; JP 3993825 B2 20071017; US 2003158694 A1 20030821; US 6556939 B1 20030429; US 6876943 B2 20050405
DOCDB simple family (application)
US 0143661 W 20011121; AT 01985992 T 20011121; AU 2002236463 A 20011121; AU 3646302 A 20011121; CA 2428033 A 20011121; DE 60141645 T 20011121; EP 01985992 A 20011121; EP 10001611 A 20011121; ES 01985992 T 20011121; ES 10001611 T 20011121; JP 2002544612 A 20011121; US 39333803 A 20030320; US 71859200 A 20001122